🔍 Dynamic Churn Prediction Model

A web-based churn prediction system that uses a Random Forest classifier to analyze customer data and predict churn. Built with Python and Flask, this app helps businesses quickly identify which customers are at risk of leaving — using just an Excel upload.

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🖥️ Demo Preview

🖼️ Screenshots

🔸 Upload Page

🔸 Prediction Results

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🛠️ Tech Stack

• Backend: Flask, Python
• ML Model: Random Forest Classifier (Scikit-learn)
• Data Handling: Pandas, NumPy
• Excel Support: openpyxl / xlrd
• Frontend: HTML/CSS (Basic)

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📂 Features

• 📥 Upload Excel files with customer data
• ✅ Auto-cleaning & preprocessing
• 🔍 Predict churn using a trained ML model
• 📊 View prediction results in the browser

⚠️ The uploaded Excel file must contain a column named Churn (with values like Yes/No or 1/0).

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🚀 How to Run Locally

1. Clone this repository

git clone https://github.com/your-username/dynamic-churn-predictor.git
cd dynamic-churn-predictor